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Quadratic Unconstrained Binary Optimization (QUBO) technique to map quantum circuits to multiple quantum cores. [MSc thesis]

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Map quantum circuits to multi-core

This project reads quantum circuits (.qasm files, Qiskit Library circuits) and maps them to the layout of a quantum multi-core system. The mapping is based on a quadratic binary unconstrained optimization (QUBO) formulation.

When using this code, please cite:

@article{bandic2023mapping,
  title={Mapping quantum circuits to modular architectures with QUBO},
  author={Bandic, Medina and Prielinger, Luise and N{\"u}{\ss}lein, Jonas and Vardoyan, Gayane and Almudever, Carmen G and Feld, Sebastian others},
  journal={arXiv preprint arXiv:2305.06687},
  year={2023}
}

How to get started

Make sure you have installed Python 3.8 or higher. Activate your virtual environment and run the following command:

pip install -r requirements.txt

We recommend to get started with the jupyter notebook playground.ipynb which contains simple examples to build your first mappings. Also, have a look into experiment.py, which you can use to reproduce our results.

python src/experiment.py test-circuit ../test

Executing this command will map a small quantum program (test-circuit) to a 3x2 core system (similar to the toy model in the paper) and store the mapping results in the output directory test.

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Quadratic Unconstrained Binary Optimization (QUBO) technique to map quantum circuits to multiple quantum cores. [MSc thesis]

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